Triple
T638813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire Hathaway |
E16684
|
entity |
| Predicate | majorShareholderOf |
P14887
|
FINISHED |
| Object | American Express |
E47812
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American Express | Statement: [Berkshire Hathaway, majorShareholderOf, American Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Express Context triple: [Berkshire Hathaway, majorShareholderOf, American Express]
-
A.
American Express
chosen
American Express is a global financial services company best known for its charge and credit cards, payment network, and travel-related services.
-
B.
Mastercard
Mastercard is a global financial services corporation best known for its widely used credit and debit card payment network.
-
C.
Visa
Visa is a global financial services corporation best known for operating one of the world’s largest electronic payment networks for credit, debit, and prepaid cards.
-
D.
Capital One
Capital One is a major American bank holding company best known for its credit card, auto loan, banking, and savings products.
-
E.
Citigroup
Citigroup is a major American multinational investment bank and financial services corporation headquartered in New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f00260081909d1a679182e23d10 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a574076b30819090f086b42696bb35 |
completed | March 2, 2026, 11:27 a.m. |
Created at: March 1, 2026, 7:35 p.m.